AI BriefingOperating AWS MSK Connect Effectively
Key point
Introduces a case study of adopting asynchronous communication and CDC using AWS MSK Connect, along with strategies for stable operation.
Details
The Oliveyoung B2B Logistics Squad adopted AWS MSK Connect while restructuring a monolithic legacy system into MSA. Through this, they implemented Asynchronous Communication and CDC (Change Data Capture), reducing dependency on batch systems and strengthening real-time data processing.
MSK (Amazon Managed Streaming for Apache Kafka) consists of a Broker, Producer, and Consumer structure, and is optimized for maintaining data consistency and sending/receiving large volumes of data. MSK Connect is a plugin-based service that supports data integration between Kafka and various external systems (S3, MongoDB, Elasticsearch, etc.).
The key strategies for stable operation are as follows.
- Ensuring data availability: By configuring the Replication Factor, a Follower Partition is set to be promoted to a Leader Partition when a failure occurs, preventing data loss.
- Resource optimization: Since the product of the number of Partitions and the Replication Factor determines the total number of storage units, appropriate settings tailored to data characteristics are needed.
- Data lightweighting: To address the growing storage space issue, the Avro format is used to optimize data size.
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